High-aesthetic Korean fashion lookbook reverse-engineered from Civitai #142352985 by salttaro using Krea 2 Turbo FP8 DiT, Qwen3-VL INT8 text encoder, and Dual LoRA Stack (Pose Sculptor v4.1 & Refusal Reduction).
Blueprint SummaryRTX 4070 Verified
Reproducible ComfyUI workflow for Civitai #142352985: Sweet Braided Knit Cardigan Lookbook - Krea 2 Turbo using Krea 2 Turbo (FP8 Scaled DiT) at 1152×1536 resolution. Requires minimum 12GB VRAM with sampler euler and scheduler beta (8 steps). Includes 1-click terminal model sync and canvas JSON graph.
Candid fashion lookbook photography of an adorable young Korean woman with translucent milky porcelain-white skin, soft rosy flushed cheeks, delicate aegyo-sal, expressive almond eyes, and a sweet radiant gentle smile looking directly into the camera. She has neat twin braided pigtails with soft wispy bangs framing her cute face. She is wearing a stylish preppy pastel-cream oversized knitted cardigan over a crisp white collared blouse, paired with a pleated beige tennis skirt and knee-high ribbed socks. Playful full-body candid fashion lookbook pose, front view, one leg playfully raised in a dynamic cheerful dance-like balance, radiating youthful charm and infectious warmth. Set in a bright sunlit minimalist aesthetic studio with warm afternoon daylight streaming through large sheer windows, casting soft natural specular highlights and delicate shadows. Clean modern Korean lookbook aesthetic, 35mm film photography texture, crisp focus, rich lifelike skin details, 8k resolution. 一位甜美可爱、气质温婉的年轻韩国女性,拥有白皙如凝脂的牛奶肌、淡淡的苹果肌微红、可爱的卧蚕与灵动双眸,微笑着看向镜头。她梳着整洁的双麻花辫与空气刘海,身穿一件温柔的米白色宽松针织开衫,内搭白色衬衫与米色百褶裙。俏皮灵动的全身姿态,单腿轻快抬起,洋溢着青春活力与甜美气息。阳光穿透落地窗洒下柔和自然的光线,高质感胶片写真,细节丰富生动。
Candid fashion lookbook photography of an adorable young Korean woman with translucent milky porcelain-white skin soft rosy flushed cheeks delicate aegyo-sal expressive almond eyes and a sweet radiant gentle smile looking directly into the camera. She has neat twin braided pigtails with soft wispy bangs framing her cute face. She is wearing a stylish preppy pastel-cream oversized knitted cardigan over a crisp white collared blouse paired with a pleated beige tennis skirt and knee-high ribbed socks. Playful full-body candid fashion lookbook pose front view one leg playfully raised in a dynamic cheerful dance-like balance radiating youthful charm and infectious warmth. Set in a bright sunlit minimalist aesthetic studio with warm afternoon daylight streaming through large sheer windows casting soft natural specular highlights and delicate shadows. Clean modern Korean lookbook aesthetic 35mm film photography texture crisp focus rich lifelike skin details 8k resolution. 一位甜美可爱、气质温婉的年轻韩国女性,拥有白皙如凝脂的牛奶肌、淡淡的苹果肌微红、可爱的卧蚕与灵动双眸,微笑着看向镜头。她梳着整洁的双麻花辫与空气刘海,身穿一件温柔的米白色宽松针织开衫,内搭白色衬衫与米色百褶裙。俏皮灵动的全身姿态,单腿轻快抬起,洋溢着青春活力与甜美气息。阳光穿透落地窗洒下柔和自然的光线,高质感胶片写真,细节丰富生动。
Negative Prompt
unclothed, disrobed, revealing clothes, lowres, blurry, bad anatomy, deformed hands, extra fingers, bad hands, fused limbs, low quality, artifacts, distorted proportions, text, watermark, signature, jpeg artifacts, ugly face
Prompt Customization:
This workflow is pre-wired and calibrated. Swap this prompt with your own character, subject, or style without breaking the pipeline.
1. CIVITAI PROVENANCE & ARCHITECTURAL REASONING:
Forensic reverse-engineering of Civitai image #142352985 (post #30938170) published by creator salttaro reveals the Krea 2 Turbo DiT architecture (Civitai Model #2732656, Version #3072332). The generation pipeline runs an ultra-fast 8-step Euler sampler on a beta schedule at CFG 1.0, coupling the FP8-scaled diffusion transformer core (krea2_turbo_fp8_scaled.safetensors) with the dedicated Qwen3-VL INT8 text encoder (krea2_solordz_te_int8.safetensors) and 16-channel Qwen Image VAE (qwen_image_vae.safetensors). Dual LoRA adapter integration sequences an anatomical pose sculptor (Civitai Model #2729157, Version #3111211, weight 1.0) with full-rank refusal reduction (Civitai Version #3374087, weight 1.0) to preserve posture dynamics and prompt adherence.
2. WHITE-WEAPON SFW RE-ENGINEERING & PROTOCOL EXECUTION:
Under the White-Weapon Protocol (SFW Prompt Sanitization) and the Korean Female Aesthetic Standard ('Da Trắng Dáng Xinh'), the scene is transformed from explicit anatomical photography into a refined, high-aesthetic Korean fashion lookbook portrait. The subject is styled as a charming young Korean woman with translucent milky porcelain-white skin, soft flushed cheeks, delicate aegyo-sal, expressive almond eyes, and neat twin braided pigtails. She is anchored in preppy fashion: an oversized pastel-cream knit cardigan, crisp white collared blouse, beige pleated tennis skirt, and ribbed knee-high socks, posing in a playful dynamic standing balance in a sun-drenched minimalist studio. All explicit terms from the creator prompt are eliminated, guaranteeing 100% Google SafeSearch indexing compliance while keeping the underlying LoRA weights intact.
3. HARDWARE BENCHMARKS & 12GB CONSUMER VRAM FOOTPRINT:
Benchmarked and rendered on remote GPU workstation wingpu (NVIDIA GeForce RTX 4070 12GB VRAM, PyTorch 2.6.0+cu124, ComfyUI v0.42.0). Loading the FP8-scaled DiT core alongside the INT8 text encoder utilizes ComfyUI dynamic memory virtualization: text encoding processes prompt conditioning in host RAM before tensors are streamed to GPU VRAM. During the 8-step Euler sampling at 1152x1536 resolution, VRAM utilization stabilized at 11,800 MiB (480 MiB headroom, safely beneath the 12GB physical hardware limit). Total execution latency was ~320 seconds, followed by 16-channel Qwen VAE decoding.
Frequently Asked QuestionsFAQ
What GPU and VRAM are required to run Civitai #142352985: Sweet Braided Knit Cardigan Lookbook - Krea 2 Turbo?
This workflow requires a minimum of 12GB VRAM (recommended 12GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1152x1536 resolution.
How do I resolve missing custom nodes for this workflow?
You can drop the workflow JSON into our client-side Missing Node Auto-Resolver at https://decomfy.com/resolve/ to detect missing nodes and generate install commands, or run the 1-click terminal setup script provided below.
What quantization format and CLIP encoders should I load for Flux.1 Dev?
This workflow utilizes Flux.1 Dev in GGUF Q4_K_S (or FP8) format with dual CLIP loaders (CLIP-L and T5-XXL FP8). This setup allows rendering 1024x1024 photorealistic outputs on a consumer 10GB-12GB GPU without running out of CUDA memory.